Tag: AIGovernance

Generative Artificial Intelligence (AI) has quickly evolved from a novelty into a regular workplace tool. It helps with tasks such as drafting emails, summarising documents, coding, and data analysis. AI-powered platforms are changing how people work. As more employees use these tools, a less visible trend is emerging: the rise of shadow AI.

As businesses accelerate the use of generative AI tools, cybersecurity teams face a growing reality. Traditional Data Loss Prevention (DLP) controls were never designed for the way employees now use Artificial Intelligence (AI). For years, DLP strategies focused on monitoring structured data. They tracked information moving through predictable channels such as email, USB devices, printing, and file transfers.

In many South African mid-market businesses, the IT team is now expected to operate with the discipline of an enterprise technology function. However, it must do so without the depth of resources that larger organisations can bring to bear. That leaves a small team moving between Microsoft 365 licensing, cloud workloads, user support, backup checks, endpoint protection, email security, connectivity issues, vendor escalations, procurement, compliance requests, and the first questions around AI governance.

Artificial Intelligence (AI) is no longer something financial institutions are preparing for. It is already embedded in how decisions are made, how products are designed and how risk is managed. Whether through fraud detection, algorithmic trading, customer engagement or compliance monitoring, AI is steadily reshaping the financial services sector.

Artificial Intelligence (AI) should be embraced, but deception should not be, and South African businesses should understand that Europe’s AI rules may apply even if they have no office in Europe.

Artificial Intelligence (AI) has moved quickly from novelty to everyday business infrastructure. It now sits inside email platforms, document systems, customer service channels, finance tools and analytics environments, influencing how decisions are prepared and how work gets done.

Financial leaders are now being asked to fund Artificial Intelligence (AI), govern it, and explain the value it creates. This isn't a simple technology question. In banking, it is becoming a test of leadership. AI is starting to influence decisions at the core of the business. These include credit, fraud, pricing, collections, customer engagement, compliance and operational resilience. These decisions affect customers, regulators, shareholders, employees and the institution’s ability to compete.

Read our exclusive cover story titled Mission focus – does AI enable strategy or create distraction? by Steven Ambrose, CEO, Strategy Worx Consulting, plus a host of other topical management articles written by professionals, consultants and academics.

King V reframes corporate governance as a competitive necessity. It embeds Environmental, Social and Governance (ESG) factors and integrated thinking at the heart of board decision-making. The question boardrooms across South Africa are now facing is what this framework demands in practice when it comes to overseeing Artificial Intelligence (AI).

Artificial intelligence has constantly been written about for the past three years. The hype, the digital transformation it promises, the productivity gains, and the threat to jobs, particularly in professional services, and finance, specifically. It is a topical and sometimes divisive subject.